You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

A depth estimation method based on geometric transformation for stereo light microscope

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Fan, Shengli; | Yu, Mei; | Wang, Yigang; | Jiang, Gangyi

Affiliations: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China | School of Information Science and Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China

Note: [] Corresponding author: Mei Yu, Faculty of Information Science and Engineering, Ningbo University, 818 Fenghua Road, Ningbo 315211, China. Tel.: +86-574-87600411; Fax: +86-574-87600427; E-mail: [email protected].

Keywords: Stereo light microscope, camera calibration, depth reconstruction, geometric transformation distance

DOI: 10.3233/BME-141092

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 2743-2749, 2014

Published: 2014
Get PDF open access

Abstract

Stereo light microscopes (SLM) with narrow vision and shallow depth of field are widely used in micro-domain research. In this paper, we propose a depth estimation method of micro objects based on geometric transformation. By analyzing the optical imaging geometry, the definition of geometric transformation distance is given and the depth-distance relation express is obtained. The parameters of geometric transformation and express are calibrated with calibration board images captured in aid of precise motorized stage. The depth of micro object can be estimated by calculating the geometric transformation distance. The proposed depth-distance relation express is verified using an experiment in which the depth map of an Olanzapine tablet surface is reconstructed.

Show more